Types of educational videos and usage patterns in teaching Quantitative Methods: an empirical study

An empirical evaluation of different usage pattern between car-sharing battery electric vehicles and private ones

In order to foster knowledge-sharing among employees, an increasing number of companies has recently begun implementing social network-based enterprise social media platforms (ESMPs). Although employees are expected to adopt these platforms quickly and use them as actively as they use public and free social media, patterns of private and corporate usage differ. While some research on the determinants of using public and free social media like Facebook has been conducted, empirical studies on the factors determining active participation in ESMPs is scarce. Based on research derived from a survey of 492 respondents carried out in a large knowledge-intensive firm, this paper addresses this gap. The results of our empirical quantitative study reveal that extrinsic motivation in particular – that is, anticipated gains in reputation and reciprocal benefits – drives employees to share knowledge in ESMPs. Knowledge-sharing self-efficacy also facilitates participation, while the enjoyment in helping others does not. The study contributes to information systems and knowledge management research, as it reveals motivational factors that drive the individual adoption in terms of active use of ESMPs. Managerial implications are derived from these results.

Considering the promise mobile telephony offers and the dramatic increase in mobile telephone usage in India, several initiatives have emerged in extending financial services to the marginalised population. However, these mobile financial services have not resulted in the desired acceptance among this targeted population. Following the contextual inquiry methodology, this paper presents the outcome of two empirical studies that aimed to identify factors that underlie this lack of usage of mobile payment options among the urban poor population. While the first study examines mobile phone features and services’ usage patterns and services, the second study examines the prerequisites to access and use BHIM and Paytm, the two most popular mobile payment/money in India. The two studies’ outcomes help understand the acceptance and adoption levels and their shortcomings in the existing design features. The study suggests desired features that may guide in designing of these financial services.

Energy consumption of mobile applications is nowadays a hot topic, given the widespread use of mobile devices. The high demand for features and improved user experience, given the available powerful hardware, tend to increase the apps’ energy consumption. However, excessive energy consumption in mobile apps could also be a consequence of energy greedy hardware, bad programming practices, or particular API usage patterns. We present the largest to date quantitative and qualitative empirical investigation into the categories of API calls and usage patterns that—in the context of the Android development framework—exhibit particularly high energy consumption profiles. By using a hardware power monitor, we measure energy consumption of method calls when executing typical usage scenarios in 55 mobile apps from different domains. Based on the collected data, we mine and analyze energy-greedy APIs and usage patterns. We zoom in and discuss the cases where either the anomalous energy consumption is unavoidable or where it is due to suboptimal usage or choice of APIs. Finally, we synthesize our findings into actionable knowledge and recipes for developers on how to reduce energy consumption while using certain categories of Android APIs and patterns

Employing a data mining approach for identification of mobile opinion leaders and their content usage patterns in large telecommunications datasets

Although ChatGPT provides excellent features as a writing assistant tool, few empirical studies have been conducted on its integration into writing education investigating students’ usage pattern and impact on the writing skills of students. This exploratory research aims to fill this research gap by analyzing prompts initiated by students and examining the effects of ChatGPT-assisted narrative writing to explore the educational potential of ChatGPT in college-level L2 writing. Toward this end, the study recruited 44 university students in South Korea. The study explored their patterns of use of ChatGPT and the effects of the narrative writing intervention assisted by ChatGPT. The major findings were as follows. The top three request prompts were: Request for language use, Request for revision, Request for information. The most frequent requests were related to linguistic aspects, and ChatGPT demonstrated successful surface-level error detection. Next, the results of the paired sample t-test and Wilcoxon signed rank test to determine the effect of ChatGPT-assisted narrative writing demonstrated high post-test scores in writing fluency and overall performance, and this difference was statistically significant. On the other hand, the post-test scores for syntactic complexity were lower than those for the pre-test, and this difference was also significant. Regarding clause complexity, clausal complements per clause exhibited a significant increase in the post-test. Based on these findings, the pedagogical implications are suggested.

This paper focuses on exploring the usage patterns and regularities of co‐employment of various popular tags and their relationships with the activeness of users and the interest level of resources in social tagging. A hypernetwork for social tagging is constructed in which a tagging action is expressed as a hyperedge and the user, resource, and tag are expressed as nodes. Quantitative measures for the constructed hypernetwork are defined, including the hyperdegree and its distribution, the excess average hyperdegree, and the hyperdegree conditional probability distribution. Using the data set from Delicious, an empirical study was conducted. The empirical results show that multiple individual tags and one or very few popular tags are generally employed together in one tagging action, and the usage patterns and regularities of tags with varying popularity are correlated to both user activity and resource interest. The empirical results are further discussed and explained from the perspectives of tag functions and motivations. Finally, suggestions regarding the usage of various popular tags for both tagging users and service providers of social tagging are given.

Almost every sufficiently complex software system today is configurable. Conditional compilation is a simple variability-implementation mechanism that is widely used in open-source projects and industry. Especially, the C preprocessor (CPP) is very popular in practice, but it is also gaining (again) interest in academia. Although there have been several attempts to understand and improve CPP, there is a lack of understanding of how it is used in open-source and industrial systems and whether different usage patterns have emerged. The background is that much research on configurable systems and product lines concentrates on open-source systems, simply because they are available for study in the first place. This leads to the potentially problematic situation that it is unclear whether the results obtained from these studies are transferable to industrial systems. We aim at lowering this gap by comparing the use of CPP in open-source projects and industry—especially from the embedded-systems domain—based on a substantial set of subject systems and well-known variability metrics, including size, scattering, and tangling metrics. A key result of our empirical study is that, regarding almost all aspects we studied, the analyzed open-source systems and the considered embedded systems from industry are similar regarding most metrics, including systems that have been developed in industry and made open source at some point. So, our study indicates that, regarding CPP as variability-implementation mechanism, insights, methods, and tools developed based on studies of open-source systems are transferable to industrial systems—at least, with respect to the metrics we considered.

This study aims to investigate the manifestations of instrumental translation competence (ITC) in translator training programs in six Saudi universities. It explores students’ knowledge and skills in ITC in terms of training and translation courses, translation tools, and usage patterns, drawing on the PACTE group of translation competence. In this empirical study, the data were collected from the documents of program and course specifications at translation programs in six Saudi universities, utilizing a checklist to analyze the manifestations of ITC in the targeted programs. Further, an open-ended questionnaire was utilized to identify translation students’ perceptions of ITC in such programs. While the open questions were analyzed using thematic analysis, the closed questions were analyzed quantitatively. The study found that the translation training programs include translation technology courses, albeit to a lesser extent, including only one or two translation technology courses within the entire 4-year program. The main emerging themes from the students’ responses are enhancement, level of experience, and utilization of ITC. The analysis also revealed a lack of training in translation technology, a lack of knowledge of advanced translation tools, their awareness of the impact of translation tools on translation quality, and inappropriate use of translation tools.

Despite the increasing need for employee assistance program (EAP) providers and human resources (HR) departments to demonstrate outcomes resulting from the availability and use of EAP services, few empirical studies have examined the relationship between EAP utilization and objective organizational outcome measures. This study made use of a unique longitudinal archival data set to examine EAP utilization, the problems for which help was sought, and the relationship of EAP utilization to absenteeism over 3 consecutive years among all EAP-eligible (N 3,448) employees in all locations of a large national Canadian retail store. Patterns of usage were examined by gender and age with a clearly defined EAP utilization statistic. Most frequently, the reasons for help seeking were personal issues, marital/family problems, and (a distant third) work-related issues. Longitudinal hierarchical linear modeling (HLM) was used to examine the differences in yearly absentee hours between EAP users versus non-EAP users. The results showed that EAP users generally had higher rates of absenteeism than nonusers during the year in which EAP was used but (with some exceptions) did not differ from the non-EAP user groups in the year(s) before and after treatment. Implications for consulting psychology are suggested.

As a kind of informal green space more closely related to the built environment, public rooftop gardens (PRGs) are novel green open space and important salutogenic resource for urban residents. It is one of the most easily accessible method for urban residents to be in contact with outdoor or natural elements from the context of high-altitude living. Given its potential health benefits to city dwellers, existing empirical studies are heavily focused on immediate recovery through visually accessing PRGs (through windows), neglecting the possibility of using PRGs physically as a place of interaction. This paper hypothesizes usage patterns will mediate the associations between the environmental characteristics of PRG and users' restoration. This is done through inputting data from 12 typical samples of PRG in Chengdu, China into structural equation model (SEM). Combining the concept of Perceived Sensory Dimensions (PSD) and Perceived Restorativeness Scales (PRS) with the usage patterns of the above samples, this study aims to examine the correlation of environmental characteristics, usage pattern and restoration, in which identify their relative importance in the context of PRGs. Through serials of numerical tests on the model, the study shows that out of the 20 theoretical pathways constructed by the environmental characteristics (x)–usage patterns (m)–restorative effect (y), only 14 forms a significant correlation. In addition, out of all PSDs, social, serene, refuge, space and nature dimensions are induced into restorative effects through four patterns of use: retreat, nature touch, interpersonal interaction and family-bonding activities. The findings also show that social and family-bonding are the most influential independent and mediating variables respectively in achieving restorative effects in the PRG. This study reveals important findings about how usage patterns mediate the association between the PSD and PRS of users. And it also has generated practical implications on how we can design public rooftop gardens from the perspective of restoration, which could potentially be the key to the future survival and development of PRGs in urban environments.

Linking Multiple Program Views Using a Visual Cache

PurposeThe purpose of this paper is to develop a novel and flexible recommender system based on usage patterns and keyword preferences using collaborative filtering (CF) and content‐based filtering (CBF).Design/methodology/approachThe proposed system analyzes data captured from the navigational and behavioral patterns of users and estimates the popularity and similarity levels of a user's clicked content. Based on this information, content is recommended to each user using recommendation methods such as CF and CBF. To assess the effectiveness of the proposed approach, an empirical study was conducted by constructing an experimental news site.FindingsThe results of the experimental study clearly show that the proposed hybrid method is superior to conventional methods that use only CF or CBF.Practical implicationsThe above findings are based on data captured from a relatively small experimental site, and they require further verification using various actual content sites. A promising area for future research may be the application of the proposed approach to making recommendations in user‐created content environments, such as blog sites and video upload sites, where users can actively participate as both writers and readers.Originality/valueUnlike the most research on recommender systems, this is the first study to analyze user usage patterns and thereby determine appropriate recommendation algorithms for each user. The proposed recommender system provides greater prediction accuracy than conventional systems.

The private sector in South Africa has become increasingly involved in the public policy process, albeit reluctantly. Both the level of managerial expertise in this field and the academic understanding of this process are extremely limited. We carried out an empirical study on fifty business leaders in South Africa in order to develop a systematic understanding of the business community's involvement in public policy. In the first study of its kind, statistical analyses were carried out on both the private sector's public policy issue prioritization and strategy selection and usage patterns. The prioritization of selected strategies revealed that the business community had adopted a set of 'insider' strategies in order to influence the public policy process, reflecting a 'toenadering' in the relationship between the business community and government. The diversity within the private sector, of both the process and content of public policy involvement, is empirically documented via the use of correspondence analysis, resulting in the inherent structure of the private sector's public policy involvement being well represented in two dimensional space. The major differentiating factors being the choice between confrontational or 'insider' strategies and the choice between economic or socio-political issues. From this basis, a strategic management approach towards socio-political involvement for the business community is developed. This is based on the use of a matrix incorporating factors such as change processes, power bases, issue life cycles and resources within business organizations; leading to the selection of appropriate strategies in order to influence change in public policy. It is hoped that this article will assist South African management in the optimal allocation of resources to socio-political activities.

An understanding of the role of e-learning needs to be accompanied by a realisation of the variety of social dimensions in the innovation process. As most studies in this domain are typically context-independent, this research, building on structuration theory, seeks to investigate different interpretations and uses of course management systems (CMSs) in an academic context. For the purpose of this research, a case study has been conducted on the introduction of a CMS in a higher education institution. Findings from this empirical study have been drawn on to illuminate how this system is employed in disparate manners by different groups of academics and what are the reasons behind this discrepancy. The study also demonstrates that the practice lens (Orlikowski, W.J., 2000. Using technology and constituting structures: a practice lens for studying technology in organizations. Organization Science, 11 (4), 404–428), viewing the use of technology as a process of enactment, presents a useful insight for explanation and synthesis of the variations in usage patterns.